Random variables

  • Mario Lefebvre
Part of the Springer Undergraduate Texts in Mathematics and Technology book series (SUMAT)


The elements of a sample space may take diverse forms: real numbers, but also brands of components, colors, “good,” or “defective,” and so on. Because it is easier to work with real numbers, in this chapter we transform all the elementary outcomes into numerical values, by means of random variables. We consider the most important particular cases and define the main functions that characterize random variables.


Density Function Poisson Distribution Exponential Distribution Probability Function Poisson Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag New York 2008

Authors and Affiliations

  1. 1.Département de Mathématiques et de génie industrielÉcole Polytechnique de Montréal, QuébecMontréalCanada

Personalised recommendations